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update model card README.md

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  1. README.md +7 -6
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@@ -20,7 +20,7 @@ model-index:
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  metrics:
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  - name: Accuracy
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  type: accuracy
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- value: 0.67188
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  ---
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  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -30,8 +30,8 @@ should probably proofread and complete it, then remove this comment. -->
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  This model was trained from scratch on the yelp_review_full dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.8026
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- - Accuracy: 0.6719
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  ## Model description
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@@ -56,7 +56,7 @@ The following hyperparameters were used during training:
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  - seed: 42
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  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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  - lr_scheduler_type: cosine
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- - num_epochs: 5
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  ### Training results
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@@ -66,12 +66,13 @@ The following hyperparameters were used during training:
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  | 0.7709 | 2.0 | 81250 | 0.6615 | 0.7877 |
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  | 0.7141 | 3.0 | 121875 | 0.6712 | 0.7689 |
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  | 0.6511 | 4.0 | 162500 | 0.6724 | 0.7845 |
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- | 0.6229 | 5.0 | 203125 | 0.8026 | 0.6719 |
 
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  ### Framework versions
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  - Transformers 4.22.2
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  - Pytorch 1.12.1+cu102
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- - Datasets 2.5.2
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  - Tokenizers 0.12.1
 
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  metrics:
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  - name: Accuracy
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  type: accuracy
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+ value: 0.67086
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  ---
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  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
 
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  This model was trained from scratch on the yelp_review_full dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.8071
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+ - Accuracy: 0.6709
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  ## Model description
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  - seed: 42
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  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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  - lr_scheduler_type: cosine
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+ - num_epochs: 6
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  ### Training results
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  | 0.7709 | 2.0 | 81250 | 0.6615 | 0.7877 |
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  | 0.7141 | 3.0 | 121875 | 0.6712 | 0.7689 |
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  | 0.6511 | 4.0 | 162500 | 0.6724 | 0.7845 |
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+ | 0.6229 | 5.0 | 203125 | 0.6719 | 0.8009 |
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+ | 0.6036 | 6.0 | 243750 | 0.8071 | 0.6709 |
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  ### Framework versions
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  - Transformers 4.22.2
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  - Pytorch 1.12.1+cu102
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+ - Datasets 2.6.1
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  - Tokenizers 0.12.1